Results 11 to 20 of about 35,203 (149)
IEEE Access, 2020 This paper presents an efficient gridless sparse reconstruction algorithm for the coprime planar array in two-dimensional (2-D) direction-of-arrival (DOA) estimation problem.
Aihong Lu, Yan Guo, Ning Li, Sixing Yang
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Direction-of-Arrival Estimation for Both Uncorrelated and Coherent Signals in Coprime Array
IEEE Access, 2019 Direction-of-arrival (DOA) estimation in coprime array involves the problem that there is the coexistence of both uncorrelated signals and coherent signals in the multipath environment.
Haiyun Xu +4 more
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2D DOA Estimation Exploiting Vertical Synthetic Planar Arrays
IEEE Access, 2021 In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation.
Guiyu Wang, Zesong Fei, Shiwei Ren
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Mathematical Problems in Engineering, 2019 In estimating the two‐dimensional (2D) direction‐of‐arrival (DOA) using a coprime planar array, there are problems of the limited degree of freedom (DOF) and high complexity caused by the spectral peak search. We utilize the time‐domain characteristics of signals and present a high DOF algorithm with low complexity based on the noncircular signals. The
Haiyun Xu +4 more
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Foundry-enabled wafer-scale characterization and modeling of silicon photonic DWDM links. [PDF]
NanophotonicsAbstract AI/ML compute clusters are driving unprecedented bandwidth demands at the package boundary, motivating co‐packaged integrated photonics closely co‐located with the compute unit. We present a scalable silicon‐photonics transceiver platform and a measurement‐driven design methodology that together enable dense, energy‐efficient DWDM links ...
Parsons R +8 more
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Hole Locations and a Filling Method for Coprime Planar Arrays for DOA Estimation [PDF]
IEEE Communications Letters, 2021 Coprime linear arrays (CLAs) have drawn lots ofattention. Efforts have been made to reveal the hole locations inthe difference coarrays of CLAs, based on which many methodshave been proposed to fill the holes, lengthening the consecutivedifference coarray part and increasing the effective degreesof freedom (DOFs). Compared with CLAs, two dimensional(2D)
Xiao Yang, Yide Wang, Pascal Charge
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Remote Sensing, 2022 In this paper, the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem is explored for the sum-difference co-array (SDCA) generated by the virtual aperture expansion of co-prime planar arrays (CPPA). Since the SDCA has holes, this usually
Donghe Liu, Yongbo Zhao, Tingxiao Zhang
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A Hybrid Approach Based on PSO and Hadamard Difference Sets for the Synthesis of Square Thinned Arrays [PDF]
, 2009 A hybrid approach for the synthesis of planar thinned antenna arrays is presented. The proposed solution exploits and combines the most attractive features of a particle swarm algorithm and those of a combinatorial method based on the noncyclic ...
Donelli, Massimo +2 more
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Minimum Norm Method for Linear and Planar Sparse Arrays [PDF]
2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2021 Coprime and nested arrays are sparse arrays with enhanced degrees of freedom, which can be exploited in direction of arrival estimation using algorithms such as product processing, min processing, and MUSIC. This paper applies the minimum norm method for
K. Adhikari, Tyler M. Trosclair
semanticscholar +1 more source
Super Nested Arrays: Sparse arrays with Less Mutual Coupling than Nested Arrays [PDF]
, 2016 In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to ...
Liu, Chun-Lin, Vaidyanathan, P. P.
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